Distributed Systems Cluster Security Software – Engineering Lead

<div class="content-intro"><p><span data-contrast="none">Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. </span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335559685":0,"335559737":240,"335559738":240,"335559739":240,"335559740":279}"> </span></p> <p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. <a href="https://openai.com/index/cerebras-partnership/">OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. </p> <p>Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.</p></div><p><strong>About The Role</strong></p> <p>In this role, you will be the security czar for the Cerebras’s AI cluster product. Such AI clusters have 100’s of Wafer-scale accelerator systems, 1000’s of high-end servers, and several 1000’s of networking ports including switches. Plus, there will be network attached storage, all in a large-scale datacenter.</p> <p>You will ensure that Cerebras’s large-scale AI clusters are secured through first-principles, best practices, security-first based engineering. Cerebras cluster involves complex HW components, networking and a vertically integrated cluster management software stack – all the way from a bare-metal deployment that brings up an operational cluster to a suite of cluster management software that enables multi-tenant higher-level training and inference services to be hosted on such large clusters.</p> <p>Your role will be to ensure both end-to-end security as well as privacy of such cluster use-cases. You will develop security engineering solutions that have the necessary network access control, user access controls, and world-class multi-tenancy solution</p> <p><strong>Responsibilities</strong></p> <ul> <li>Be the primary engineering face and owner of cluster security.</li> <li>Provide strong technical leadership in cluster security for the company.</li> <li>Actively work with corporate security, and customers to identify and define security enhancements needed.</li> <li>Build engineering driven software that will provide guardrails, detection solution and response tools for vulnerabilities at all layers of vertical stack (includes HW and SW).</li> <li>Straddle vertically and horizontally cross functional collaboration to ensure end-to-end cluster software is secure.</li> <li>Develop, maintain and execute roadmap of the cluster security product.</li> <li>Build an outstanding engineering team to deliver world-class security solution.</li> </ul> <p><strong>Skills Qualifications</strong></p> <ul> <li>3+ years of demonstrated engineering leadership/management role in distributed systems security.</li> <li>Proven track record of delivering product, launching and deploying secured distributed solutions to customers.</li> <li>Excellent communication, articulation, collaboration and ability to act as a stakeholder.</li> <li>Tough decision-making skills with data and trade-off analysis.</li> <li>Outstanding sense for product and user journeys, out-of-box thinker.</li> <li>Outstanding road map and schedule execution skills under tight timeline and budgets.</li> <li>S ... (truncated, view full listing at source)